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ORCIDCIBD 2014: Orlando, FL, USA
- 2014 IEEE Symposium on Computational Intelligence in Big Data, CIBD 2014, Orlando, FL, USA, December 9-12, 2014. IEEE 2014, ISBN 978-1-4799-4541-2
CIBD'14 Session 1: Big Data Applications
- Andrew R. Buck, Alina Zare
, James M. Keller, Mihail Popescu:
Endmember representation of human geography layers. 1-6 - Chang Li, Huanhuan Chen:
Sparse Bayesian approach for feature selection. 7-13 - Marco Signoretto, Emanuele Frandi, Zahra Karevan, Johan A. K. Suykens:
High level high performance computing for multitask learning of time-varying models. 14-19 - Shun Yoshida, Jun Kitazono, Seiichi Ozawa, Takahiro Sugawara, Tatsuya Haga, Shogo Nakamura:
Sentiment analysis for various SNS media using Naïve Bayes classifier and its application to flaming detection. 20-25 - Yongqiang Cheng, Ping Jiang, Yonghong Peng:
Increasing big data front end processing efficiency via locality sensitive Bloom filter for elderly healthcare. 26-33
Special Session: CIBD'14 Session 2: Big Data Analytic for Healthcare
- James M. Keller, Andrew R. Buck, Alina Zare, Mihail Popescu:
A human geospatial predictive analytics framework with application to finding medically underserved areas. 34-39 - Norman Poh, Santosh Tirunagari, David Windridge:
Challenges in designing an online healthcare platform for personalised patient analytics. 40-45 - Torbjorn Wasterlid, Li Bai:
Feature selection/visualisation of ADNI data with iterative partial least squares. 46-53 - Xiaobin You, Bee Hoon Heng, Kiok Liang Teow:
Application of sparse matrix clustering with convex-adjusted dissimilarity matrix in an ambulatory hospital specialist service. 54-61 - Masood U. H. Zaka, Yonghong Peng, Chris W. Sutton:
Microarray big data integrated analysis to identify robust diagnostic signature for triple negative breast cancer. 62-68
Special Session: CIBD'14 Session 3: Big Data Analytics in Traditional Chinese Medicine
- Xiaoping Zhang, Jian Wang, Biyan Liang, Haixun Qi, Yufeng Zhao, Jaming Lu, Liran Xu, Xin Deng, Xiuhui Li, Li Wang, Xinghua Tan, Yuxiang Mao, Guoliang Zhang, Junwen Wang, Xiaodong Li, Yuguang Wang:
Mining the prescription-symptom regularity of TCM for HIV/AIDS based on complex network. 69-76 - Jian Wang, Xiaoping Zhang, Biyan Liang, Xuezhong Zhou, Jiaming Lu, Liran Xu, Xin Deng, Xiuhui Li, Li Wang, Xinghua Tan, Yuxiang Mao, Guoliang Zhang, Junwen Wang, Xiaodong Li, Yuguang Wang:
Regularity of herbal formulae for HIV/AIDS patients with syndromes based on complex networks. 77-83 - Lizhi Feng, Xuezhong Zhou, Haixun Qi, Runshun Zhang, Yinghui Wang, Baoyan Liu:
Development of large-scale TCM corpus using hybrid named entity recognition methods for clinical phenotype detection: An initial study. 84-90 - Guanli Song, Yinghui Wang, Runshun Zhang, Baoyan Liu, Xuezhong Zhou, Guanbo Song, Liang Xie, Xinghuan Huang:
Methods and technologies of traditional Chinese medicine clinical information datamation in real world. 91-95 - Yufeng Zhao, Lin Luo, Liyun He, Guanli Song, Baoyan Liu, Qi Xie, Xiaoping Zhang, Jian Wang, Xianghong Jing:
TCM syndrome classification of AIDS based on Manifold ranking. 96-100
Poster Session: SSCI'14 Poster Session
- Wanting Liu, Yonghong Peng, Desmond J. Tobin:
Integrated analytics of microarray big data reveals robust gene signature. 101-107 - Nikolaos Tsapanos, Anastasios Tefas, Nikolaos Nikolaidis, Ioannis Pitas:
Large graph clustering using DCT-based graph clustering. 108-111 - Alejandro Baldominos, Esperanza Albacete, Yago Sáez, Pedro Isasi:
A scalable machine learning online service for big data real-time analysis. 112-119
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